1 citations · 1 across the 4 of their papers we have counts for
4 papers
Aligning in a Compact Space: Contrastive Knowledge Distillation between Heterogeneous Architectures
Hongjun Wu, Li Xiao, Xingkuo Zhang +1
Knowledge distillation is commonly employed to compress neural networks, reducing the inference costs and memory footprint. In the scenario of homogenous architecture, feature-base…
Visual tracking brain computer interface
Changxing Huang, Nanlin Shi, Yining Miao +3
Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known fo…
High-performance cVEP-BCI under minimal calibration
Yining Miao, Nanlin Shi, Changxing Huang +4
The ultimate goal of brain-computer interfaces (BCIs) based on visual modulation paradigms is to achieve high-speed performance without the burden of extensive calibration. Code-mo…
Estimating and approaching maximum information rate of noninvasive visual brain-computer interface
Nanlin Shi, Yining Miao, Changxing Huang +5
The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress,…